{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4a592497-4fe2-45a3-8cfb-7b7762b9f2b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f0f10bd-7afe-4c0f-a73e-a5d58a3c33ac",
   "metadata": {},
   "source": [
    "## 分布图：单变量\n",
    "\n",
    "### displot()函数\n",
    "\n",
    "#### 重点\n",
    "\n",
    "1. displot主要用于绘制分布数据图，内部封装了histplot（默认）、kdeplot和ecdfplot。\n",
    "    1. histplot() ==> catplot(kind=\"hist\")\n",
    "    2. kdeplot() ==> catplot(kind=\"kde\")\n",
    "    3. ecdfplot() ==> catplot(kind=\"ecdf\")\n",
    "2. histplot图是用于绘制指定数据项取值的直方图\n",
    "    * bins参数可用于设定直方图中的分块大小\n",
    "    * kde参数可用于在直方图中插入kde曲线\n",
    "3. kdeplot图是用于绘制指定数据项取值的核密度曲线\n",
    "4. ecdfplot图是用于统计指定数据项取值的经验累积分布曲线。\n",
    "5. rug参数可用于在3中基础图形中插入rug图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "af5219a0-865a-4206-aef3-8c4ac8b3fa7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>fare</th>\n",
       "      <th>embarked</th>\n",
       "      <th>class</th>\n",
       "      <th>who</th>\n",
       "      <th>adult_male</th>\n",
       "      <th>deck</th>\n",
       "      <th>embark_town</th>\n",
       "      <th>alive</th>\n",
       "      <th>alone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   survived  pclass     sex   age  sibsp  parch     fare embarked  class  \\\n",
       "0         0       3    male  22.0      1      0   7.2500        S  Third   \n",
       "1         1       1  female  38.0      1      0  71.2833        C  First   \n",
       "2         1       3  female  26.0      0      0   7.9250        S  Third   \n",
       "3         1       1  female  35.0      1      0  53.1000        S  First   \n",
       "4         0       3    male  35.0      0      0   8.0500        S  Third   \n",
       "\n",
       "     who  adult_male deck  embark_town alive  alone  \n",
       "0    man        True  NaN  Southampton    no  False  \n",
       "1  woman       False    C    Cherbourg   yes  False  \n",
       "2  woman       False  NaN  Southampton   yes   True  \n",
       "3  woman       False    C  Southampton   yes  False  \n",
       "4    man        True  NaN  Southampton    no   True  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据(seaborn提供测试数据)\n",
    "titanic = pd.read_csv(\"dataset/titanic.csv\")\n",
    "# 清理掉age取值为NAN的记录\n",
    "titanic = titanic[~np.isnan(titanic[\"age\"])]\n",
    "# 查看数据\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9ec2dc1-2956-4b45-ab20-b5eb77a68781",
   "metadata": {},
   "source": [
    "#### 基础分布图\n",
    "通过kind参数可以设定绘制的基础分布图为hist、kde和ecdf中的一种"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "123a0424-3d75-4b76-920c-6058528a6dbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x106666510>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-直方图，不需要写明 kind=\"hist\"\n",
    "sns.displot(x=\"age\", data=titanic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4030d50f-599b-4e8a-be3b-62b5f2a7f6e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x188792cd0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-kde图，需要写明 kind=\"kde\"\n",
    "sns.displot(x=\"age\", data=titanic, kind=\"kde\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "be8f73cd-cf8f-4695-8bc8-34a516d73eae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x188823b10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-ecdf图，需要写明 kind=\"ecdf\"\n",
    "sns.displot(x=\"age\", data=titanic, kind=\"ecdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99ff54f4-8f57-480a-9821-010d239079e3",
   "metadata": {},
   "source": [
    "#### bins参数\n",
    "通过bins参数可以设定直方图的分块大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "560d1e86-9d56-40e6-96e0-3fb85ce2b276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x18a930390>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-直方图，不需要写明 kind=\"hist\"\n",
    "    # 设定直方图分块的大小为30\n",
    "sns.displot(x=\"age\", data=titanic, bins=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "974d4470-c43d-47e8-a52e-d3bf31b0a2bb",
   "metadata": {},
   "source": [
    "#### kde参数\n",
    "通过kde参数可以设定在直方图上叠加kde曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c4a6e8c3-5495-4a68-a350-e605272f2f53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x18a950210>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-直方图，不需要写明 kind=\"hist\"\n",
    "sns.displot(x=\"age\", data=titanic, bins=30, kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0227117d-3331-4fa8-944c-368d92e61ab5",
   "metadata": {},
   "source": [
    "#### rug参数\n",
    "通过rug参数可以设定在基础图上叠加rug分布图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4673a6c7-7ec9-44f5-9ab4-29df14638f4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1888a6ed0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-直方图，不需要写明 kind=\"hist\"\n",
    "    # 设定显示rug图\n",
    "sns.displot(x=\"age\", data=titanic, bins=30, kde=True, rug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ab6448f-5217-4c01-982d-42169c5cc90c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x188780810>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-kde图，需要写明 kind=\"kde\"\n",
    "    # 设定显示rug图\n",
    "sns.displot(x=\"age\", data=titanic, kind=\"kde\", rug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7b93caac-ea60-4aad-bdf0-eb8ad69ffcf0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x18ab7e950>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制titanic上的年龄分布图\n",
    "    # 绘制分布图-ecdf图，需要写明 kind=\"ecdf\"\n",
    "    # 设定显示rug图\n",
    "sns.displot(x=\"age\", data=titanic, kind=\"ecdf\", rug=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
